Unconventional criticality, scaling breakdown, and diverse universality classes in the Wilson-Cowan model of neural dynamics
Helena Christina Piuvezam, B\'oris Marin, Mauro Copelli, Miguel A., Mu\~noz

TL;DR
This paper explores various phase transitions in the stochastic Wilson-Cowan neural model, revealing new types of critical behavior and scaling breakdowns relevant to neural avalanches and non-equilibrium phase transitions.
Contribution
It identifies eight types of phase transitions, including novel ones, and analyzes their critical properties, extending the understanding of neural network dynamics and universality classes.
Findings
Eight types of phase transitions identified
Discovery of novel transition behaviors including scaling breakdown
Relevance to neural avalanche phenomena
Abstract
The Wilson-Cowan model constitutes a paradigmatic approach to understanding the collective dynamics of networks of excitatory and inhibitory units. It has been profusely used in the literature to analyze the possible phases of neural networks at a mean-field level, e.g., assuming large fully-connected networks. Moreover, its stochastic counterpart allows one to study fluctuation-induced phenomena, such as avalanches. Here, we revisit the stochastic Wilson-Cowan model paying special attention to the possible phase transitions between quiescent and active phases. We unveil eight possible types of phase transitions, including continuous ones with scaling behavior belonging to known universality classes -- such as directed percolation and tricritical directed percolation -- as well as novel ones. In particular, we show that under some special circumstances, at a so-called Hopf tricritical…
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Taxonomy
TopicsNeural dynamics and brain function · stochastic dynamics and bifurcation · Nonlinear Dynamics and Pattern Formation
